REAL-TIME IOT AND GPS ASSISTED WOMEN SAFTEY DEVICE WITH EMERGENCY ALERTS

Authors

  • P. Anil Kumar Author
  • N. Sai Krishna Author
  • Mehren Ansari Author
  • Kanuganti Prashanth Author
  • Metthalla Kishore Babu Author
  • Gandra Venkatesh Author

DOI:

https://doi.org/10.64751/ijdim.2026.v5.n2(2).pp68-76

Keywords:

Women Safety, IoT, GPS, ESP-32, Zigbee, ESP-CAM, SPO2, Emergency Alert, Wearable Device, Real-Time Monitoring, DHT11, Vibration Sensor, Panic Button, LCD, IoT Cloud

Abstract

Women safety remains a critical concern in today's society, where incidents of violence and harassment demand immediate and reliable technological intervention. This project presents a real-time IoT and GPS-assisted women safety device designed to provide immediate emergency alerts through an integrated multi-sensor wearable system. The device incorporates an ESP-32 microcontroller as the processing core, supported by an ESP-CAM for visual surveillance, a DHT11 sensor for environmental monitoring, an SPO2 sensor for vital health data, a panic button for manual emergency triggering, a GPS module for precise location tracking, and a vibration sensor for detecting physical disturbances. All sensor data is processed by the ESP-32, encoded, and transmitted wirelessly via Zigbee communication to a remote receiver station. At the receiver end, a second ESP-32 decodes the transmitted data and activates alert mechanisms including an LCD display, a buzzer for audible alarms, and an IoT cloud interface for remote monitoring and logging. A regulated power supply (RPS) ensures stable operation of both transmitter and receiver units. The system is designed to be compact, lowpower, and cost-effective, providing women with a reliable personal safety solution that bridges wearable electronics with cloud connectivity

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Published

2026-04-21

How to Cite

P. Anil Kumar, N. Sai Krishna, Mehren Ansari, Kanuganti Prashanth, Metthalla Kishore Babu, & Gandra Venkatesh. (2026). REAL-TIME IOT AND GPS ASSISTED WOMEN SAFTEY DEVICE WITH EMERGENCY ALERTS. International Journal of Data Science and IoT Management System, 5(2(2), 68-76. https://doi.org/10.64751/ijdim.2026.v5.n2(2).pp68-76

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